Please use this identifier to cite or link to this item: http://ddms.usim.edu.my:80/jspui/handle/123456789/9216
Title: Mobile botnet detection: Proof of concept
Authors: Z, Abdullah,
M.M., Saudi,
N.B, Anuar,
Keywords: innate immune system
mobile botnet
reverse engineering
smartphones
static analysis
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Nowadays mobile devices such as smartphones had widely been used. People use smartphones not limited for phone calling or sending messages but also for web browsing, social networking and online banking transaction. To certain extend, all confidential information are kept in their smartphone. As a result, smartphones became as one of the cyber-criminal main target especially through an installation of mobile botnet. Eurograbber is an example of mobile botnet that being installed via infected mobile application without victim knowledge. It will pretense as mobile banking application software and steal financial transaction information from victim's smartphone. In 2012, Eurograbber had caused a total loss of USD 47 Million accumulatively all over the world. Based on the implications posed by this botnet, this is the urge where this research comes in. This paper presents a proof of concept on how the botnet works and the ongoing research to detect and respond to the mobile botnet efficiently. Detection of botnet malicious activity is done through an analysis of Crusewind Botnet code using reverse engineering process and static analysis technique.
URI: http://ddms.usim.edu.my/handle/123456789/9216
ISBN: 9781-4799-5692-0
Appears in Collections:Proceedings - 2012 IEEE Control and System Graduate Research Colloquium, ICSGRC 2012

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